myClim: Microclimate data handling and standardised analyses in R

M Man, V Kalčík, M Macek, J Brůna… - Methods in ecology …, 2023 - Wiley Online Library
Microclimates have been recognised as one of the key drivers in global change biology.
Durable microclimate loggers, detailed in‐situ measurements and sophisticated modelling …

Next-generation intensity-duration-frequency curves for climate-resilient infrastructure design: Advances and opportunities

H Yan, N Sun, X Chen, MS Wigmosta - Frontiers in Water, 2020 - frontiersin.org
National and international security communities (eg, US Department of Defense) have
shown increasing attention for innovating critical infrastructure and installations due to …

Direct Insertion of NASA Airborne Snow Observatory‐Derived Snow Depth Time Series Into the iSnobal Energy Balance Snow Model

AR Hedrick, D Marks, S Havens… - Water Resources …, 2018 - Wiley Online Library
Accurately simulating the spatiotemporal distribution of mountain snow water equivalent
improves estimates of available meltwater and benefits the water resource management …

The Role of Snowmelt Temporal Pattern in Flood Estimation for a Small Snow‐Dominated Basin in the Sierra Nevada

H Yan, N Sun, MS Wigmosta, Z Duan… - Water Resources …, 2023 - Wiley Online Library
Prior research confirmed the substantial bias from using precipitation‐based intensity‐
duration‐frequency curves (PREC‐IDF) in design flood estimates and proposed next …

Channel conveyance variability can influence flood risk as much as streamflow variability in western Washington state

S Ahrendt, AR Horner‐Devine… - Water Resources …, 2022 - Wiley Online Library
Abstract Changes in the severity and likelihood of flooding events are typically associated
with changes in the intensity and frequency of streamflows, but temporal adjustments in a …

Snowpack density modeling is the primary source of uncertainty when map** basin‐wide SWE with lidar

MS Raleigh, EE Small - Geophysical Research Letters, 2017 - Wiley Online Library
Lidar‐measured snow depth and model‐estimated snow density can be combined to map
snow water equivalent (SWE). This approach has the potential to transform research and …

[HTML][HTML] Precipitation-phase partitioning at landscape scales to regional scales

E Lynn, A Cuthbertson, M He… - Hydrology and Earth …, 2020 - hess.copernicus.org
Water management throughout the western United States largely relies on the partitioning of
cool season mountain precipitation into rain and snow, particularly snow as it maximizes …

Observations of an extreme atmospheric river storm with a diverse sensor network

BJ Hatchett, Q Cao, PB Dawson, CJ Ellis… - Earth and Space …, 2020 - Wiley Online Library
Observational networks enhance real‐time situational awareness for emergency and water
resource management during extreme weather events. We present examples of how a …

The sensitivity of modeled snow accumulation and melt to precipitation phase methods across a climatic gradient

KS Jennings, NP Molotch - Hydrology and Earth System …, 2019 - hess.copernicus.org
A critical component of hydrologic modeling in cold and temperate regions is partitioning
precipitation into snow and rain, yet little is known about how uncertainty in precipitation …

The impact of forest‐controlled snow variability on late‐season streamflow varies by climatic region and forest structure

WR Currier, N Sun, M Wigmosta, N Cristea… - Hydrological …, 2022 - Wiley Online Library
Previous studies have documented how forests influence snow at fine spatial scales, but
none have documented the influence that existing forest‐snow variability has on streamflow …